Short and Fat: TCP Performance in CEE Datacenter Networks. - Daniel Crisan; Andreea Simona Anghel; Robert Birke; Cyriel Minkenberg; Mitchell Gusat (Hot Interconnects, 2011)

Holistic power analysis of implementation alternatives for a very large scale synthesis array with phased array stations. - Andreea Anghel; Rik Jongerius; Gero Dittmann; Jonas R. M. Weiss; Ronald P. Luijten (ICASSP, 2014)

Scalable, efficient ASICS for the square kilometre array: From A/D conversion to central correlation. - Martin L. Schmatz; Rik Jongerius; Gero Dittmann; Andreea Anghel; Ton Engbersen; Jan van Lunteren; Peter Buchmann (ICASSP, 2014)

The importance and characteristics of communication in high performance data analytics. - Andreea Anghel; Germán Rodríguez; Bogdan Prisacari (IISWC, 2014)

Scalable High Resolution Traffic Heatmaps: Coherent Queue Visualization for Datacenters. - Andreea Simona Anghel; Robert Birke; Mitchell Gusat (TMA, 2014)

Scaling application properties to exascale. - Giovanni Mariani; Andreea Anghel; Rik Jongerius; Gero Dittmann (Conf. Computing Frontiers, 2015)

Analytic processor model for fast design-space exploration. - Rik Jongerius; Giovanni Mariani; Andreea Anghel; Gero Dittmann; Erik Vermij; Henk Corporaal (ICCD, 2015)

Quantifying Communication in Graph Analytics. - Andreea Anghel; Germán Rodríguez; Bogdan Prisacari; Cyriel Minkenberg; Gero Dittmann (ISC, 2015)

Synthetic Traffic Model of the Graph500 Communications. - Pablo Fuentes 001; Enrique Vallejo 001; José Luis Bosque; Ramón Beivide; Andreea Anghel; Germán Rodríguez; Mitchell Gusat; Cyriel Minkenberg (ICA3PP, 2016)

An Instrumentation Approach for Hardware-Agnostic Software Characterization. - Andreea Anghel; Laura Mihaela Vasilescu; Giovanni Mariani; Rik Jongerius; Gero Dittmann (Int. J. Parallel Program., 2016)

Scaling Properties of Parallel Applications to Exascale. - Giovanni Mariani; Andreea Anghel; Rik Jongerius; Gero Dittmann (Int. J. Parallel Program., 2016)

Predicting Cloud Performance for HPC Applications: a User-oriented Approach. - Giovanni Mariani; Andreea Anghel; Rik Jongerius; Gero Dittmann (CCGrid, 2017)

Real-time security services for SDN-based datacenters. - Pál Varga; Georgios Kathareios; Akos Mate; Rolf Clauberg; Andreea Anghel; Peter Orosz; Balázs Nagy; Tamas Tothfalusi; László Kovács; Mitch Gusat (CNSM, 2017)

MeSAP: A fast analytic power model for DRAM memories. - Sandeep Poddar; Rik Jongerius; Leandro Fiorin; Giovanni Mariani; Gero Dittmann; Andreea Anghel; Henk Corporaal (DATE, 2017)

Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates. - Georgios Kathareios; Andreea Anghel; Akos Mate; Rolf Clauberg; Mitch Gusat (ICMLA, 2017)

A scalable synthetic traffic model of Graph500 for computer networks analysis. - Pablo Fuentes 001; Mariano Benito; Enrique Vallejo 001; José Luis Bosque; Ramón Beivide; Andreea Anghel; Germán Rodríguez; Mitch Gusat; Cyriel Minkenberg; Mateo Valero (Concurr. Comput. Pract. Exp., 2017)

Classification of thread profiles for scaling application behavior. - Giovanni Mariani; Andreea Anghel; Rik Jongerius; Gero Dittmann (Parallel Comput., 2017)

A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology. - Milos Stanisavljevic; Andreea Anghel; Nikolaos Papandreou; Sonali Andani; Pushpak Pati; Jan Hendrik Rüschoff; Peter Wild; Maria Gabrani; Haralampos Pozidis (ECCV Workshops (6), 2018)

Snap ML: A Hierarchical Framework for Machine Learning. - Celestine Dünner; Thomas P. Parnell; Dimitrios Sarigiannis; Nikolas Ioannou; Andreea Anghel; Gummadi Ravi; Madhusudanan Kandasamy; Haralampos Pozidis (NeurIPS, 2018)

Snap ML: A Hierarchical Framework for Machine Learning. - Celestine Dünner; Thomas P. Parnell; Dimitrios Sarigiannis; Nikolas Ioannou; Andreea Anghel; Haralampos Pozidis (CoRR, 2018)

Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. - Andreea Anghel; Nikolaos Papandreou; Thomas P. Parnell; Alessandro De Palma; Haralampos Pozidis (CoRR, 2018)

Predicting cloud performance for HPC applications before deployment. - Giovanni Mariani; Andreea Anghel; Rik Jongerius; Gero Dittmann (Future Gener. Comput. Syst., 2018)

Analytic Multi-Core Processor Model for Fast Design-Space Exploration. - Rik Jongerius; Andreea Anghel; Gero Dittmann; Giovanni Mariani; Erik Vermij; Henk Corporaal (IEEE Trans. Computers, 2018)

Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images. - Nikolas Ioannou; Milos Stanisavljevic; Andreea Anghel; Nikolaos Papandreou; Sonali Andani; Jan Hendrik Rüschoff; Peter Wild; Maria Gabrani; Haralampos Pozidis (MICCAI (1), 2019)

Sampling Acquisition Functions for Batch Bayesian Optimization. - Alessandro De Palma; Celestine Mendler-Dünner; Thomas P. Parnell; Andreea Anghel; Haralampos Pozidis (CoRR, 2019)

Breadth-first, Depth-next Training of Random Forests. - Andreea Anghel; Nikolas Ioannou; Thomas P. Parnell; Nikolaos Papandreou; Celestine Mendler-Dünner; Haris Pozidis (CoRR, 2019)

SnapBoost: A Heterogeneous Boosting Machine. - Thomas P. Parnell; Andreea Anghel; Malgorzata Lazuka; Nikolas Ioannou; Sebastian Kurella; Peshal Agarwal; Nikolaos Papandreou; Haralampos Pozidis (NeurIPS, 2020)

MixBoost: A Heterogeneous Boosting Machine. - Thomas P. Parnell; Andreea Anghel; Malgorzata Lazuka; Nikolas Ioannou; Sebastian Kurella; Peshal Agarwal; Nikolaos Papandreou; Haralampos Pozidis (CoRR, 2020)

Search-based Methods for Multi-Cloud Configuration. - Malgorzata Lazuka; Thomas P. Parnell; Andreea Anghel; Haralampos Pozidis (CLOUD, 2022)

xCloudServing: Automated ML Serving Across Clouds. - Malgorzata Lazuka; Andreea Anghel; Parikshit Ram; Haralampos Pozidis; Thomas P. Parnell (CLOUD, 2023)

Acceleration of Decision-Tree Ensemble Models on the IBM Telum Processor. - Nikolaos Papandreou; Jan van Lunteren; Andreea Anghel; Thomas P. Parnell; Martin Petermann; Milos Stanisavljevic; Cédric Lichtenau; Andrew Sica; Dominic Röhm; Elpida Tzortzatos; Haralampos Pozidis (ISCAS, 2023)

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models. - Erik R. Altman; Jovan Blanusa; Luc von Niederhäusern; Beni Egressy; Andreea Anghel; Kubilay Atasu (NeurIPS, 2023)

Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection. - Jovan Blanusa; Maximo Cravero Baraja; Andreea Anghel; Luc von Niederhäusern; Erik R. Altman; Haris Pozidis; Kubilay Atasu (ICAIF, 2024)

LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. - Malgorzata Lazuka; Andreea Anghel; Thomas P. Parnell (SC, 2024)

Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs. - Jovan Blanusa; Maximo Cravero Baraja; Andreea Anghel; Luc von Niederhäusern; Erik R. Altman; Haris Pozidis; Kubilay Atasu (CoRR, 2024)